A fuzzy ranking approach for improving search results in Turkish as an agglutinative language

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dc.authorid0000-0003-4351-2244
dc.authorscopusid54783608800
dc.authorwosidUzun, Erdinç/AAG-5529-2019
dc.contributor.authorUzun, Erdinç
dc.date.accessioned2022-05-11T14:15:46Z
dc.date.available2022-05-11T14:15:46Z
dc.date.issued2012
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThis study proposes a fuzzy ranking approach, designed for Turkish as an agglutinative language, that focuses on improving stemming techniques via using distances of characters in its search algorithm. Various studies focused on search engines are based on using stemming techniques in indexing process because of the higher percentage of relevancy that these techniques provide. However, stemming techniques may have negative effects on search results in some queries. While analyzing the search results to find the query terms those give irrelevant results and why, we observe that user's query suffixes are crucial in search performance. Therefore, the proposed fuzzy ranking approach supports traditional stemming approaches with the use of suffixes. The search results of this approach are significantly better than stemming techniques in where stemming technique is ineffective. In terms of overall results, the fuzzy ranking approach also gives satisfactory results when compared with stemming techniques such as a Turkish stemmer (19.43% of improvement) and word truncation technique (12.61% of improvement). Moreover, it is statistically better than no stemming with 28.61% of improvement. (C) 2011 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2011.11.105
dc.identifier.endpage5664
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-84855873728
dc.identifier.scopusqualityQ1
dc.identifier.startpage5658
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2011.11.105
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6065
dc.identifier.volume39
dc.identifier.wosWOS:000301155300104
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUzun, Erdinç
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFuzzy ranking in searching
dc.subjectAgglutinative languages
dc.subjectTurkish IR
dc.subjectSearch engine
dc.subjectTerm weighting
dc.subjectInformation-Retrieval
dc.subjectStrategies
dc.subjectSystem
dc.titleA fuzzy ranking approach for improving search results in Turkish as an agglutinative language
dc.typeArticle

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